Research of target location with quantized data of acoustic energy in WSN
WSN基于声音能量量化数据的目标定位研究

The bandwidth and energy of wireless sensor network is limited. If only one binary or multi-bit quantized data is transmitted to realize target location, the resource cost of network can be reduced in wireless sensor network. This paper researched the method of target location in wireless sensor network. It derived the likelihood function using energy attenuation model and gave the method of maximum likelihood based on acoustic energy. And it also derived the Cramer-Rao lower bound of maximum likelihood estimator to evaluate the estimation result. The simulation results show that the performance of this method approaches to the Cramer-Rao lower bound. The energy of network can be saved by reducing the amount of bit transmitted as long as location accuracy can be satisfied.